Instructions to use hts98/whisper-medium-paper with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hts98/whisper-medium-paper with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hts98/whisper-medium-paper")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hts98/whisper-medium-paper") model = AutoModelForSpeechSeq2Seq.from_pretrained("hts98/whisper-medium-paper", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 5
Browse files
pytorch_model.bin
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runs/Jun18_22-26-18_3e97f1c6739c/events.out.tfevents.1687127607.3e97f1c6739c.472.0
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